Mariana Abreu

648 citations
13 papers · 402 indexed · 1 hit paper · h-index 8
Topics
EEG and Brain-Computer Interfaces (5 papers)Epilepsy research and treatment (5 papers)Mobile Health and mHealth Applications (2 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessEpilepsia

In The Last Decade

Mariana Abreu

12 papers receiving 395 citations

Hit Papers

TSFEL: Time Series Feature Extraction Library20202026202220242020100200300

Peers

Mariana Abreu
Comparison fields: 5 of 105
  • Artificial Intelligence 78
  • Signal Processing 70
  • Computer Vision and Pattern Recognition 62
  • Biomedical Engineering 60
  • Cognitive Neuroscience 57
Replace Md Junayed Hasan with:
Md Junayed Hasan United Kingdom
Alam Noor China
Juan Manuel Gálvez Spain
Mostafa Mirshekari United States
Amelie Bonde United States
Jonathon Fagert United States
Álvaro Marco Spain
Weidong Jiao China
Ajat Shatru Arora India
Zhenhua Jia China
Mariana Abreu relative to Md Junayed Hasan United Kingdom Md Junayed Hasan's profile →
Citations per field
00.5×1.5×2.4×
Md Junayed Hasan · 1×
Citations per year

Countries citing papers authored by Mariana Abreu

Since Specialization
Citations

This map shows the geographic impact of Mariana Abreu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mariana Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Abreu more than expected).

Fields of papers citing papers by Mariana Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Abreu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mariana Abreu. The network helps show where Mariana Abreu may publish in the future.

Co-authorship network of co-authors of Mariana Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Abreu. A scholar is included among the top collaborators of Mariana Abreu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariana Abreu. Mariana Abreu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 9
5 3
6 8
7 10
8 8
9 11
10 2
11
TSFEL: Time Series Feature Extraction Librarybreakdown →
309
12 8
13 32

About Mariana Abreu

Mariana Abreu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Applied Psychology, having authored 13 papers that have together received 402 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Epilepsy research and treatment (5 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Signal Processing (70 citations), Computer Vision and Pattern Recognition (62 citations) and Cognitive Neuroscience (57 citations). Mariana Abreu has collaborated with scholars based in Portugal, Brazil and Netherlands. Frequent co-authors include Hugo Gambôa, Marília Barandas, Duarte Folgado, Sara Santos, Patrícia Bota, Hui Liu, Tanja Schultz, Rafael Vieira de Sousa, Ana Fred and Luciane Silva Martello. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Epilepsia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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